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Table 4 Sensitivity, specificity, and accuracy of combining various feature extraction methods with various classifiers to distinguishing between Set E (ictal) and Set D (interictal).

From: Combination of EEG Complexity and Spectral Analysis for Epilepsy Diagnosis and Seizure Detection

Window size Classifier Feature selection Sensitivity Specificity Accuracy
173 LLS All features 95.98 (1.4) 95.14 (1.0) 95.56 (0.8)
   GA 95.90 (1.3) 94.66 (1.6) 95.28 (0.9)
   ApEn + AR model 95.88 (0.8) 94.85 (1.6) 95.36 (0.8)
  LDA All features 95.98 (1.4) 95.14 (1.0) 95.56 (0.8)
   GA 95.79 (0.9) 94.82 (1.3) 95.30 ( 0.7)
   ApEn + AR model 95.88 (0.8) 94.85 (1.6) 95.36 (0.8)
  BP All features 95.90 (0.9) 95.41 (1.2) 95.66 (0.7)
   PCA 95.89 (1.0) 94.65 (1.2) 95.27 (0.6)
   GA 95.67 (1.3) 94.49 (1.9) 95.08 (1.1)
   ApEn + AR model 93.47 (2.0) 94.95 (1.4) 94.21 (1.2)
  LISVM All features 95.68 (1.0) 95.62 (1.2) 95.65 (0.8)
   PCA 95.46 (1.4) 95.16 (1.1) 95.31 (0.8)
   GA 95.27 (1.5) 95.29 (1.0) 95.28 (0.9)
   ApEn + AR model 94.68 (1.2) 94.73 (1.6) 94.71 (1.0)
  RBFSVM All features 96.04 (1.1) 95.29 (1.2) 95.67 (0.7)
   PCA 95.95 (1.5) 95.09 (1.2) 95.52 (0.9)
   GA 95.86 (1.0) 95.32 (1.8) 95.59 (0.9)
   ApEn + AR model 92.84 (2.9) 93.54 (1.8) 93.19 (1.6)
256 LLS All features 95.48 (1.8) 96.20 (1.5) 95.84 (1.2)
   GA 95.27 (1.7) 95.88 (1.3) 95.57 (1.2)
   ApEn + AR model 96.23 (0.6) 95.08 (2.2) 95.66 (1.2)
  LDA All features 95.48 (1.8) 96.20 (1.5) 95.84 (1.2)
   GA 94.64 (1.8) 96.34 (1.2) 95.49 (1.2)
   ApEn + AR model 96.23 (0.6) 95.08 (2.2) 95.66 (1.2)
  BP All features 96.03 (1.2) 95.70 (1.3) 95.87 (0.9)
   PCA 95.72 (1.1) 96.03 (1.3) 95.88 (0.6)
   GA 95.75 (1.4) 95.03 (1.5) 95.39 (0.9)
   ApEn + AR model 93.34 (2.5) 95.58 (1.6) 94.46 (1.3)
  LISVM All features 95.61 (1.3) 96.41 (1.4) 96.01 (0.9)
   PCA 95.19 (1.2) 96.11 (1.6) 95.65 (1.0)
   GA 95.19 (1.2) 95.91 (1.4) 95.55 (0.7)
   AR model 94.67 (1.7) 95.06 (1.9) 94.87 (1.4)
  RBFSVM All features 96.34 (1.4) 96.53 (1.3) 96.44 (0.9)
   PCA 96.28 (1.3) 96.38 (1.4) 96.33 (1.0)
   GA 95.67 (1.2) 95.81 (1.3) 95.74 (0.9)
   ApEn + AR model 92.39 (3.8) 93.88 (2.1) 93.13 (2.1)
512 LLS All features 96.03 (2.0) 96.56 (1.8) 96.30 (1.4)
   GA 95.91 (2.0) 96.47 (1.8) 96.19 (1.4)
   ApEn + AR model 96.44 (0.8) 95.38 (2.1) 95.91 (1.1)
  LDA All features 96.30 (2.0) 96.56 (1.8) 96.30 (1.4)
   GA 96.03 (1.9) 96.03 (1.7) 96.03 (1.4)
   ApEn + AR model 96.44 (0.8) 95.38 (2.1) 95.91 (1.1)
  BP All features 96.63 (1.3) 95.88 (1.7) 96.25 (1.0)
   PCA 96.44 (1.5) 95.78 (1.3) 96.11 (0.8)
   GA 96.41 (1.9) 95.47 (1.8) 95.94 (0.7)
   ApEn + AR model 94.25 (1.4) 95.56 (2.0) 94.91 (1.1)
  LISVM All features 96.91 (1.2) 96.59 (1.6) 96.75 (1.0)
   PCA 94.47 (3.6) 98.57 (0.8) 97.75 (0.6)
   GA 96.88 (1.4) 96.16 (1.7) 96.52 (1.0)
   ApEn + AR model 93.94 (2.4) 94.88 (2.6) 94.41 (1.7)
  RBFSVM All features 97.22 (1.3) 96.63 (1.6) 96.92 (1.1)
   PCA 97.00 (2.0) 99.18 (0.6) 98.74 (0.5)
   GA 96.44 (1.5) 96.13 (1.4) 96.28 (0.9)
   ApEn + AR model 92.00 (4.1) 94.53 (2.6) 93.27 (2.3)
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